OP22 Using Threshold Analysis To Guide Searches For Additional Sources Of Evidence
نویسندگان
چکیده
Introduction Threshold analysis is a novel statistical approach which can be used to investigate direct comparisons in network meta-analysis (NMA) have estimated relative effects that may not robust changes the evidence, either due possible bias, sampling variation, or relevance. Methods In health technology assessment of clinical effectiveness ablative and non-invasive therapies for patients with early hepatocellular carcinoma (HCC), we conducted threshold identify treatment would sensitive randomized controlled trial (RCT) evidence NMAs, potentially leading change recommended treatment. The results were guide targeted systematic review high-quality, non-randomized, prospective comparative studies could strengthen those identified as change. Results We NMAs RCT four outcomes: overall survival (16 RCTs), progression-free (6 recurrence (7 local (10 RCTs). displayed high level uncertainty, attributable sparse nature network, characterised by interventions being mainly compared small trials. A was on relevant analysis. this incorporated into second NMA support evidence. Conclusions has been typically tool assess how an are additional sources but it also search non-randomized when available sparse.
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ژورنال
عنوان ژورنال: International Journal of Technology Assessment in Health Care
سال: 2022
ISSN: ['1471-6348', '0266-4623']
DOI: https://doi.org/10.1017/s0266462322000812